Computer Vision Applied Scientist

Job ID: 1021734 | Amazon Development Center DEU

DESCRIPTION

We are a computer vision research group in Berlin, Germany creating novel solutions in collaboration with product teams all across Amazon for some of the most visible and exciting problems out there. Our work sits right at the intersection of research and engineering and we are delivering products with real world impact in various application fields, e.g. for Prime Video, Prime Photos, Robotics and Retail. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions for all levels of experience and this is what we are looking for:

Major Responsibilities:
· Research, design, implement and evaluate novel computer vision algorithms
· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields
· Collaborate closely with researchers and engineers to drive systems from prototyping to production level
· Collaborate with teams spread all around the world


If you thrive in a fast-paced environment, you’ll meet your match with us, as you will be part of a vibe of constant improvement. We don’t like to sit still, which is why we always treat every day like the first day. A day to make more good things happen for our customers. That's the kind of spirit that drives our success and you could be part of it. It’s as simple as this: Work Hard. Have Fun. Make History.

BASIC QUALIFICATIONS

- PhD in computer vision/machine learning or related experience
- Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning
- Coding skills in two or more programming languages such as Python, C, C++, Java etc.

PREFERRED QUALIFICATIONS

- Experience in publishing at major computer science conferences or journals
- Hands-on experience with popular deep learning frameworks such as MxNet and TensorFlow
- Hands-on experience with Python
- Strong verbal and written communication skills



Take a look at https://www.aboutamazon.com/research to learn more about research highlights and publications from the Amazon science teams.


Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

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